Earticle

초록

영어

Vehicle detection and tracking applications play an important role for military and civilian applications such as in highway traffic surveillance control management and traffic planning.This paper presents a review on the various techniques of On-Road Vehicle detection systems that are based on motion model. In this paper a literature Survey of previous and recent works is presented on vision-based vehicle detection using sensors. Detecting the objects in the video and tracking their motion to identify their characteristics has been emerging as a demanding research area in the domain of Image Processing and Computer Vision. The traffic image analysis comprises of three parts: (1) Traffic Analysis (2) Motion Vehicle Detection and Segmentation Approaches and (3) Vehicle Tracking Approaches. In this survey, we have classified these methods into various groups, and these groups are providing a detailed description of various representation methods and find out their positive and negative aspects.

목차

Abstract
 1. Introduction
 2. Literature Survey
 3. Traffic Analysis and Incident Detection
 4. Motion Vehicle Detection and Segmentation Approaches
  4.1 Background Subtraction Methods
  4.2 Feature Based Methods
  4.3 Frame Differencing and Motion Based Methods
 5. Vehicle Tracking Approaches
  5.1 Region-Based Tracking Methods
  5.2 Contour Tracking Methods
  5.3 3D Model-Based Tracking Methods
  5.4 Feature-Based Tracking Methods
  5.5 Color and Pattern-Based Tracking Methods
 7. Conclusion and Future Work
 References

키워드

저자

• A. P. Shukla [ Department of Computer Science & Engineering Krishna Institute of Engineering and Technology, Ghaziabad ]
• Mona Saini [ Department of Computer Science & Engineering Krishna Institute of Engineering and Technology, Ghaziabad ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605